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  <dxl:Comment><![CDATA[
When a table is joined with itself, we should assume independence and should not damp predicates, even when the underlying table is the same. In the below example, we should expect 1-5 rows, not ~100 rows.

CREATE TABLE t1 (a int, b int, c int) DISTRIBUTED BY (a);
insert into t1 select floor(random()*1000),floor(random()*1000),floor(random()*1000) from generate_series(1,1000)i;

analyze t1;
set optimizer_damping_factor_join=0;
explain select * from t1 foo, t1 bar, t1 jazz
where foo.a=bar.a and bar.b=jazz.b and foo.c=jazz.c;

                                                 QUERY PLAN
---------------------------------------------------------------------------------------------------------
 Gather Motion 3:1  (slice3; segments: 3)  (cost=0.00..1293.67 rows=4 width=36)
   ->  Hash Join  (cost=0.00..1293.67 rows=2 width=36)
         Hash Cond: public.t1.b = public.t1.b AND public.t1.c = public.t1.c
         ->  Redistribute Motion 3:3  (slice1; segments: 3)  (cost=0.00..862.30 rows=521 width=24)
               Hash Key: public.t1.b, public.t1.c
               ->  Hash Join  (cost=0.00..862.26 rows=521 width=24)
                     Hash Cond: public.t1.a = public.t1.a
                     ->  Table Scan on t1  (cost=0.00..431.01 rows=334 width=12)
                     ->  Hash  (cost=431.01..431.01 rows=334 width=12)
                           ->  Table Scan on t1  (cost=0.00..431.01 rows=334 width=12)
         ->  Hash  (cost=431.03..431.03 rows=334 width=12)
               ->  Redistribute Motion 3:3  (slice2; segments: 3)  (cost=0.00..431.03 rows=334 width=12)
                     Hash Key: public.t1.b, public.t1.c
                     ->  Table Scan on t1  (cost=0.00..431.01 rows=334 width=12)
 Settings:  optimizer=on; optimizer_damping_factor_join=0
 Optimizer status: PQO version 3.88.0
(16 rows) ]]>
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